NLPExplorer

A Fast and Accurate Dependency Parser using Neural Networks

Danqi Chen | Christopher Manning |

Paper Details:

Month: October
Year: 2014
Location: Doha, Qatar
Venue: EMNLP |
SIG: SIGDAT

Citations

URL

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Zhisong Zhang | Hai Zhao | Lianhui Qin |

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Yuan Zhang | David Weiss |

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Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
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Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
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Explicit Retrofitting of Distributional Word Vectors
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Global Transition-based Non-projective Dependency Parsing
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A Multi-task Approach to Learning Multilingual Representations
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Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
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One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations
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Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States
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Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
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Easy-First Dependency Parsing with Hierarchical Tree LSTMs
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Shift-Reduce Constituent Parsing with Neural Lookahead Features
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Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
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In-Order Transition-based Constituent Parsing
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Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees
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TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers
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A Bayesian Model for Generative Transition-based Dependency Parsing
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Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing
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Pronoun Translation and Prediction with or without Coreference Links
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Predicting Machine Translation Adequacy with Document Embeddings
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Response Generation in Dialogue Using a Tailored PCFG Parser
Caixia Yuan | Xiaojie Wang | Qianhui He |

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Amir Zeldes | Shuo Zhang |

Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks
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Mapping Unseen Words to Task-Trained Embedding Spaces
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Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation
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Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms
Jaromír Šavelka | Kevin D. Ashley |

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Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks
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Erik Velldal | Lilja Øvrelid | Petter Hohle |

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Ali Basirat | Joakim Nivre |

Quote Extraction and Attribution from Norwegian Newspapers
Andrew Salway | Paul Meurer | Knut Hofland | Øystein Reigem |

Toward Universal Dependencies for Ainu
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Catching the Common Cause: Extraction and Annotation of Causal Relations and their Participants
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Bich-Ngoc Do | Ines Rehbein | Anette Frank |

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Juhi Tandon | Dipti Misra Sharma |

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Regina Stodden | Behrang QasemiZadeh | Laura Kallmeyer |

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Anders Søgaard | Miryam de Lhoneux | Isabelle Augenstein |

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Jan Kowollik | Ahmet Aker |

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Linfeng Song | Yue Zhang | Daniel Gildea |

Reducing Lexical Features in Parsing by Word Embeddings
Hiroya Komatsu | Ran Tian | Naoaki Okazaki | Kentaro Inui |

High-order Graph-based Neural Dependency Parsing
Zhisong Zhang | Hai Zhao |

Acquiring distributed representations for verb-object pairs by using word2vec
Miki Iwai | Takashi Ninomiya | Kyo Kageura |

Using Stanford Part-of-Speech Tagger for the Morphologically-rich Filipino Language
Matthew Phillip Go | Nicco Nocon |

Field Of Study

Linguistic Trends

Discourse Embeddings

Task

Tagging Machine Translation

Approach

Deep Learning

Language

Chinese English

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